Data Warehousing and Knowledge Discovery 11th International Conference, DaWaK 2009 Linz, Austria, August 31–September 2, 2009 Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Pedersen, Torben Bach (Επιμελητής έκδοσης), Mohania, Mukesh K. (Επιμελητής έκδοσης), Tjoa, A Min (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
• Σειρά: Lecture Notes in Computer Science, 5691
• Θέματα: Computer science.; Computers.; Database management.; Data mining.; Information storage and retrieval.; Pattern recognition.; Computer Science.; Database Management.; Data Mining and Knowledge Discovery.; Information Storage and Retrieval.; Information Systems Applications (incl. Internet).; Information Systems and Communication Service.; Pattern Recognition.

This book constitutes the refereed proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2009 held in Linz, Austria in August/September 2009. The 36 revised full papers presented were carefully reviewed and selected from 124 submissions. The papers are o...

Πίνακας περιεχομένων:

• Invited Talk
• New Challenges in Information Integration
• Data Warehouse Modeling
• What Is Spatio-Temporal Data Warehousing?
• Towards a Modernization Process for Secure Data Warehouses
• Visual Modelling of Data Warehousing Flows with UML Profiles
• Data Streams
• CAMS: OLAPing Multidimensional Data Streams Efficiently
• Data Stream Prediction Using Incremental Hidden Markov Models
• History Guided Low-Cost Change Detection in Streams
• Physical Design
• HOBI: Hierarchically Organized Bitmap Index for Indexing Dimensional Data
• A Joint Design Approach of Partitioning and Allocation in Parallel Data Warehouses
• Fast Loads and Fast Queries
• Pattern Mining
• TidFP: Mining Frequent Patterns in Different Databases with Transaction ID
• Non-Derivable Item Set and Non-Derivable Literal Set Representations of Patterns Admitting Negation
• Which Is Better for Frequent Pattern Mining: Approximate Counting or Sampling?
• A Fast Feature-Based Method to Detect Unusual Patterns in Multidimensional Datasets
• Data Cubes
• Efficient Online Aggregates in Dense-Region-Based Data Cube Representations
• BitCube: A Bottom-Up Cubing Engineering
• Exact and Approximate Sizes of Convex Datacubes
• Data Mining Applications
• Finding Clothing That Fit through Cluster Analysis and Objective Interestingness Measures
• Customer Churn Prediction for Broadband Internet Services
• Mining High-Correlation Association Rules for Inferring Gene Regulation Networks
• Analytics
• Extend UDF Technology for Integrated Analytics
• High Performance Analytics with the R3-Cache
• Open Source BI Platforms: A Functional and Architectural Comparison
• Ontology-Based Exchange and Immediate Application of Business Calculation Definitions for Online Analytical Processing
• Data Mining
• Skyline View: Efficient Distributed Subspace Skyline Computation
• HDB-Subdue: A Scalable Approach to Graph Mining
• Mining Violations to Relax Relational Database Constraints
• Arguing from Experience to Classifying Noisy Data
• Clustering
• Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data
• The PDG-Mixture Model for Clustering
• Clustering for Video Retrieval
• Spatio-Temporal Mining
• Trends Analysis of Topics Based on Temporal Segmentation
• Finding N-Most Prevalent Colocated Event Sets
• Rule Mining
• Rule Learning with Probabilistic Smoothing
• Missing Values: Proposition of a Typology and Characterization with an Association Rule-Based Model
• Olap Recommendation
• Recommending Multidimensional Queries
• Preference-Based Recommendations for OLAP Analysis.